Throughout this paper, a system able to provide support for the teacher on the nonverbal communication state of each one of the students is described. This system detects and classifies the facial expression and eye gaze of each student, generating a nonverbal state for each one of them. By using this information, the system is able to determine the classroom environment. It is also able to give suggestions to the teacher in the class so that his/her performance can improve. Furthermore, along with this publication, the different implementations that have been carried out and the first results obtained are described. Lastly, this paper discusses the performance of the system and any future work that may be carried out.
|ジャーナル||International Journal of Machine Learning and Computing|
|出版ステータス||Published - 2019|
ASJC Scopus subject areas
- Computer Science Applications
- Information Systems and Management
- Artificial Intelligence